ML / LLM Engineer

Key Responsibilities

• Develop and deploy ML models and LLM-based solutions for product outcome prediction
• Build workflows where users input product details and receive predictive insights
• Enhance an existing AI agent into a decision-making/prediction system
• Work with product and assortment data for feature engineering and modeling
• Integrate LLM capabilities to improve reasoning and contextual understanding
• Continuously evaluate and improve model performance

Required Skills

• 3+ years of experience in Machine Learning / AI Engineering
• Strong knowledge of predictive modeling and classification techniques
• Hands-on experience with LLMs (OpenAI, Llama, etc.)
• Proficiency in Python and ML libraries (Scikit-learn, PyTorch, TensorFlow)
• Experience working with structured data, model evaluation, and pipelines

Good to Have

• Experience with GenAI, RAG pipelines, or prompt engineering
• Exposure to MLOps and model deployment
  • Familiarity with cloud platforms (Azure / AWS)